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      Internal Multiple Prediction Based on Imaging Profile Prediction and Kirchhoff Demigration

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          Abstract

          This paper introduces an internal multiple prediction method based on imaging profile prediction and Kirchhoff demigration. First, based on an inputted prestack time migration profile, the method predicts the prestack time migration profile that only includes internal multiples by inverse scattering series method. Second, the method uses velocity-weighted Kirchhoff demigration to create shot gathers that contains only internal multiples. Internal multiple prediction based on the prestack time migration profile effectively reduces the computational cost of multiple predictions, and the internal-multiple shot gathers created by Kirchhoff demigration remarkably reduces the complexity of the practical problem. Internal multiple elimination can be conducted through the combined adaptive multiple subtraction based on event tracing. Synthetic and field data tests show that the method effectively predicts internal multiples and possesses considerable potential in field data processing, particularly in areas where internal multiples develop seriously.

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          Author and article information

          Journal
          JOUC
          Journal of Ocean University of China
          Science Press and Springer (China )
          1672-5182
          12 November 2019
          01 December 2019
          : 18
          : 6
          : 1360-1370
          Affiliations
          1College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
          2Laboratory for Marine Mineral Resource, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
          3CNOOC EnerTech-Drilling & Production Co., Data Processing Co., Zhanjiang 524057, China
          4Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Qingdao 266100, China
          5College of Marine Geo-sciences, Ocean University of China, Qingdao 266100, China
          6National Deep Sea Center, Qingdao 266100, China
          Author notes
          *Corresponding author: TAN Jun
          Article
          s11802-019-3969-4
          10.1007/s11802-019-3969-4
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2019.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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          Self URI (journal-page): https://www.springer.com/journal/11802

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